Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Amir Hossein Ashtari"'
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 4126-4143 (2014)
Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local var
Externí odkaz:
https://doaj.org/article/0ae677bcf2dc44a98f871ca4f2a0c719
Publikováno v:
Neurocomputing. 175:1009-1018
In this paper, a new deformation invariant image matching method, known as spatial orientation feature matching (SOFM), is presented. A new similarity value, which measures the similarity of the signal through the path based on triple-wise signal eig
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 15:1690-1705
In this paper, an Iranian vehicle license plate recognition system based on a new localization approach, which is modified to reflect the local context, is proposed, along with a hybrid classifier that recognizes license plate characters. The method
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 4126-4143 (2014)
Sensors (Basel, Switzerland)
Sensors; Volume 14; Issue 3; Pages: 4126-4143
Sensors (Basel, Switzerland)
Sensors; Volume 14; Issue 3; Pages: 4126-4143
Image corner detection is a fundamental task in computer vision. Many applications require reliable detectors to accurately detect corner points, commonly achieved by using image contour information. The curvature definition is sensitive to local var
Publikováno v:
PLoS ONE
PLoS ONE, Vol 11, Iss 3, p e0149710 (2016)
PLoS ONE, Vol 11, Iss 3, p e0149710 (2016)
An invariant feature matching method is proposed as a spatially invariant feature matching approach. Deformation effects, such as affine and homography, change the local information within the image and can result in ambiguous local information perta
Publikováno v:
Journal of ICT Research and Applications, Vol 6, Iss 2, Pp 151-170 (2013)
ITB Journal of Information and Communication Technology, Vol 6, Iss 2, Pp 151-170 (2012)
ITB Journal of Information and Communication Technology, Vol 6, Iss 2, Pp 151-170 (2012)
One of the most important methods to solve traffic congestion is to detect the incident state of a roadway. This paper describes the development of a method for road traffic monitoring aimed at the acquisition and analysis of remote sensing imagery.
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 24(11)
This paper proposes a fast algorithm for rotating images while preserving their quality. The new approach rotates images based on vertical or horizontal lines in the original image and their rotated equation in the target image. The proposed method i
Publikováno v:
ICEEI
One of the most important methods to solve the traffic congestion is to detect the incident state in a roadway. This paper describes the development of segmentation methods for road traffic monitoring aims at the acquisition and analysis remote sensi
Publikováno v:
ICEEI
In this paper, a new approach for car license plate detection will be presented. The proposed method is faster than previous methods as it avoids time-consuming image transformations such as Hough transform, Fourier transform, wavelet transform, etc.
Publikováno v:
2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.
A sensor network containing many sensors is supposed and each sensor has limited and un-replaceable energy. As each node has various duties, a node's wrong performance leads to energy waste and its omission from the network structure. In this paper,